iPhone X
Geekbench ML Score
432
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| User | brocksuire |
| Upload Date | September 28 2021 10:49 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone X |
| Model ID | iPhone10,3 |
| Motherboard | D22AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
251
26.9 IPS |
|
|
Image Classification (F16)
|
100% |
243
26.1 IPS |
|
|
Image Classification (I8)
|
81% |
359
38.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
736
4.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
737
4.55 IPS |
|
|
Image Segmentation (I8)
|
89% |
662
4.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
703
2.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
681
2.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
128
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
479
16.8 IPS |
|
|
Object Detection (F16)
|
100% |
552
19.4 IPS |
|
|
Object Detection (I8)
|
52% |
512
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
727
8.36 IPS |
|
|
Face Detection (F16)
|
100% |
755
8.68 IPS |
|
|
Face Detection (I8)
|
75% |
479
5.51 IPS |
|
|
Text Classification (F32)
|
100% |
106
42.0 IPS |
|
|
Text Classification (F16)
|
100% |
120
47.4 IPS |
|
|
Machine Translation (F32)
|
100% |
752
115.9 IPS |
|
|
Machine Translation (F16)
|
100% |
748
115.3 IPS |
